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510(k) Data Aggregation
(255 days)
Good Doctors Co., Ltd.
CL-DP40 (Dr's Light PRIME)/CL-DP40 (Dr's Light CHOICE)is a hand held LED polymerization light intended to cure dental composites using visible light.
This unit is a battery type wireless LED curing light. User can adjust light intensity and time by selecting six program modes. Both of Dr's Light PRIME and Dr's Light Choice are characterized by high power intensity, slim head height, large irradiation area (12mm), adjustable intensity power, highly readable color touch screen, 360° twistable head and big capacity of the battery.
The provided text describes a 510(k) premarket notification for a dental curing light, CL-DP40 (Dr's Light PRIME) / CL-DP40 (Dr's Light CHOICE). This submission aims to demonstrate substantial equivalence to legally marketed predicate devices.
Here's an analysis of the acceptance criteria and the study that proves the device meets them, based on the provided text:
1. Table of Acceptance Criteria and Reported Device Performance
The acceptance criteria are implicitly derived from the technical specifications of the predicate device, particularly the primary predicate, "Dr's Light 2" (K173157). The subject device is deemed substantially equivalent because its performance metrics are comparable or superior to the predicate.
Acceptance Criteria (from Primary Predicate) | CL-DP40 (Dr's Light PRIME) / CL-DP40 (Dr's Light CHOICE) Reported Performance |
---|---|
Operational Modes: 7 Modes | 6 Modes (Note: The submission states this difference "does not raise a question in safety and performance") |
Light Source: 8W LED | 8W LED |
Power Source: Battery 3.7V | Battery 3.7V |
Wavelength Range: 400nm-490nm | 400nm-490nm (Dr's Light PRIME), 440nm-490nm (Dr's Light CHOICE) |
Accessories: Guide Tip, Shield | Guide Tip, Shield |
Material Composition: Glass Guide Tip | Glass Guide Tip |
Light Intensity: Max 1600W/cm² | Max 1600W/cm² |
Peak Wavelength: 460nm & 405nm | 460nm & 405nm |
Depth of Cure: 2.3mm (avg.) | 2.3mm (avg.) |
Electrical Safety: IEC 60601-1 | IEC 60601-1 |
EMC & EMI: IEC 60601-1-2 | IEC 60601-1-2 |
2. Sample size used for the test set and the data provenance
The document does not specify a "test set" in the context of a clinical study with patients or samples. Instead, non-clinical tests were performed on the device itself.
- Sample Size: Not explicitly stated for each test (e.g., how many devices were tested for depth of cure, electrical safety).
- Data Provenance: The tests were non-clinical, likely conducted in a laboratory setting. There is no information regarding country of origin or whether they were retrospective or prospective.
3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts
Not applicable. This device is a dental curing light, and the evaluation did not involve human interpretation of medical images or data requiring expert-established ground truth. The "ground truth" for its performance is based on established engineering and materials science principles and measurements (e.g., light intensity, depth of cure).
4. Adjudication method for the test set
Not applicable, as there was no test set requiring expert adjudication for ground truth.
5. If a multi reader multi case (MRMC) comparative effectiveness study was done, If so, what was the effect size of how much human readers improve with AI vs without AI assistance
Not applicable. This document is for a dental curing light, not an AI-powered diagnostic device. No MRMC study was conducted.
6. If a standalone (i.e. algorithm only without human-in-the-loop performance) was done
Not applicable. This device does not use an algorithm or AI. It is a manually operated medical device.
7. The type of ground truth used
The "ground truth" for the performance evaluation relies on:
- Physical measurements: For parameters like light intensity, peak wavelength, and depth of cure, standardized measurement techniques appropriate for dental curing lights would have been used. These measurements serve as the factual basis for performance.
- Engineering standards: Compliance with standards like IEC 60601-1 (Electrical Safety) and IEC 60601-1-2 (EMC & EMI) serves as the "ground truth" for electrical safety and electromagnetic compatibility.
8. The sample size for the training set
Not applicable. This device does not involve machine learning or AI, so there is no training set.
9. How the ground truth for the training set was established
Not applicable, as there is no training set.
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(566 days)
Good Doctors Co.,Ltd.
The IC-WHCD100 (Inspire) is intended to be used as an aid in the detection and diagnosis of dental caries.
The IC-WHCD100 is a toothbrush-sized handpiece used for diagnosis of caries. A USB cable is used to connect the handpiece to a personal computer with a dental imaging software. After a camera cover is placed over the end, the handpiece is positioned over the tooth to be examined. The camera takes images by illuminating the tooth surface with a white LED light for regular tooth image. With fluoresced light, the device can show bacteria on the surface of tooth. With infrared light, the device can show tooth cavity by highlighting enamel. The user can view the images on 510k cleared dental imaging software such as Apteryx vision (K983111), Romexis (K171385), Sidexis (K132773), etc.
The provided text details the FDA 510(k) summary for the IC-WHCD100 (Inspire) device, which is an intraoral camera intended as an aid in the detection and diagnosis of dental caries. However, the document primarily focuses on demonstrating substantial equivalence to predicate devices and provides limited information regarding specific acceptance criteria and detailed study results. Critical information needed to fully answer the request, such as a precise table of acceptance criteria and reported device performance with numerical metrics (e.g., sensitivity, specificity for caries detection), detailed sample size for the test set, number and qualifications of experts for ground truth, adjudication methods, details of comparative effectiveness studies (MRMC), or a comprehensive standalone performance study report are not explicitly present in the provided text.
Based on the available information, here's what can be extracted and what remains unknown:
1. Table of Acceptance Criteria and Reported Device Performance
The document mentions "Performance Test for imaging (Image Sharpness, Image Size, Image Resolution, tooth Caries Detection)" as a non-clinical test. However, it does not provide a specific table of acceptance criteria or the reported device performance metrics (e.g., sensitivity, specificity, accuracy) for caries detection. It only broadly states that "the performance test results of the subject device supports that the transillumination mode works well despite this difference." and "the performance test result supports that the subject device is substantially equivalent to the predicate devices."
Unfortunately, a specific table with numerical acceptance criteria and corresponding performance data for caries detection is not found in the provided text.
2. Sample Size Used for the Test Set and Data Provenance
The document states "performance test results of the subject device supports that the transillumination mode works well despite this difference." and refers to "Performance Tests (Non-clinical)". However, the specific sample size used for the test set (number of teeth, lesions, or patients) and the data provenance (e.g., country of origin of the data, retrospective or prospective nature of data collection) are not disclosed in this 510(k) summary.
3. Number of Experts Used to Establish the Ground Truth for the Test Set and Their Qualifications
The provided text does not specify the number of experts used to establish ground truth or their qualifications. It only refers to "Performance Tests" related to caries detection, implying some form of ground truth was used, but details are absent.
4. Adjudication Method for the Test Set
The document does not describe any adjudication method (e.g., 2+1, 3+1, none) used for establishing the ground truth for the test set.
5. If a Multi Reader Multi Case (MRMC) Comparative Effectiveness Study Was Done
The provided text does not mention or describe a Multi Reader Multi Case (MRMC) comparative effectiveness study where human readers' performance with and without AI assistance was evaluated. The focus is on the device's performance relative to predicate devices, not human-AI collaboration.
6. If a Standalone (i.e. algorithm only without human-in-the-loop performance) Was Done
The document broadly states "Performance Test for imaging... tooth Caries Detection)". While the device has a caries detection aid capability, the summary does not explicitly detail a standalone algorithm-only performance study with specific metrics (e.g., sensitivity, specificity of the algorithm itself). The device is described as an "aid in the detection and diagnosis," implying human involvement.
7. The Type of Ground Truth Used
The document refers to "tooth Caries Detection" as one of the performance tests. However, the specific type of ground truth used (e.g., expert consensus, pathology/histology, clinical outcomes data, or a combination) is not explicitly stated.
8. The Sample Size for the Training Set
The 510(k) summary does not provide any information regarding a training set sample size. This type of document typically focuses on performance testing for regulatory clearance rather than details of model development. Given that the device is an "intraoral camera with Caries Detection Aid" using specific light sources (405nm and 940nm) to highlight bacteria and cavities, it's possible its "detection aid" might be based on optical properties rather than a complex AI model requiring extensive training data in the traditional sense, but this is speculative given the lack of detail.
9. How the Ground Truth for the Training Set Was Established
Since there is no mention of a training set, there is no information on how its ground truth was established.
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(242 days)
Good Doctors Co.,Ltd.
Dr's Light 2 is a hand held LED polymerization light intended to cure dental composites using visible light.
Not Found
This document, K173157, is a 510(k) premarket notification for a dental device called "Dr.'s Light 2." It is a regulatory approval letter from the FDA. Based on the provided text, there is no information about acceptance criteria for a study, performance metrics, sample sizes, expert qualifications, or any details related to an AI/algorithm-based medical device study.
The document states that the device is a "hand held LED polymerization light intended to cure dental composites using visible light." This is a physical, light-emitting device, not a software or AI-driven diagnostic or analytical tool that would typically involve the kind of studies you are asking about (e.g., MRMC, standalone algorithm performance, ground truth establishment through expert consensus or pathology).
Therefore, I cannot fulfill your request to describe acceptance criteria and a study proving the device meets them, as the provided input does not contain any of that information. The document is solely an FDA clearance letter for a non-AI dental light.
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(281 days)
Good Doctors Co.,Ltd.
Dr's Finder NEO is intended for detecting the apex of root canal.
The device allows the relative position of a dental file and the apex to be determined electrically. Using a standard dental file inserted into the root canal as an electrode, the device emits very small electrical currents having frequencies of 400 Hz, and 10400 Hz. The current between the file and mouth is measured at each of these frequencies, and the readout of the relative proximity to the apex will appear on the meter.
The provided text describes the Dr's Finder NEO, an apex locator device, and its substantial equivalence to predicate devices. Here's a breakdown of the requested information based on the provided document:
1. Table of Acceptance Criteria and Reported Device Performance
Acceptance Criteria (Derived from Primary Predicate Accuracy) | Reported Device Performance (Dr's Finder NEO) |
---|---|
Accuracy: ±0.2 mm | Accuracy: ±0.2 mm |
2. Sample Size Used for the Test Set and Data Provenance
The document mentions "comparison testing on Dr's Finder NEO and the predicate device (RCM-7, K090925) was performed to compare the measurement performance of locating apex root using extracted tooth and a stainless steel file."
- Test Set Sample Size: Not explicitly stated. The phrase "extracted tooth" implies multiple teeth were used, but a specific number is not provided.
- Data Provenance: The study used "extracted tooth," suggesting an in vitro setting. The country of origin for the data is not specified, but the manufacturer is Good Doctors Co., Ltd. from the Republic of Korea. The study appears to be prospective in nature as it was conducted for this 510(k) submission.
3. Number of Experts Used to Establish Ground Truth for the Test Set and Qualifications of Those Experts
- Number of Experts: Not specified.
- Qualifications of Experts: Not specified. The ground truth method described below does not inherently require human expert interpretation as the measurement is electrical.
4. Adjudication Method for the Test Set
Not applicable. The "ground truth" for an apex locator's accuracy is typically established by direct measurement relative to the actual apical foramen in an ex vivo setting, rather than through expert adjudication of images or clinical findings.
5. If a Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study was done, and the Effect Size of Human Improvement
- MRMC Study: No, an MRMC comparative effectiveness study was not done. The study conducted was a technical performance comparison between two devices, not an evaluation of human reader performance with or without AI assistance.
6. If a Standalone (Algorithm Only Without Human-in-the-Loop Performance) was Done
Yes, a standalone performance test was done. The document states, "The comparison testing on Dr's Finder NEO and the predicate device (RCM-7, K090925) was performed to compare the measurement performance of locating apex root using extracted tooth and a stainless steel file." This describes the device operating on its own to locate the apex.
7. The Type of Ground Truth Used
The ground truth explicitly stated for accuracy is ±0.2mm. For an apex locator, this ground truth is typically established by:
- Direct Measurement/Physical Measurement: In an ex vivo setting (e.g., extracted teeth), the actual length to the anatomical apex is physically measured (e.g., with a microscope or calipers after sectioning) and compared to the device's reading. The document's mention of "extracted tooth" supports this type of ground truth.
8. The Sample Size for the Training Set
The document does not mention a training set. Apex locators like the Dr's Finder NEO are typically based on electrical impedance principles and calibrated during manufacturing, rather than "trained" in the machine learning sense with a data set.
9. How the Ground Truth for the Training Set Was Established
As no training set is discussed or implied by the technology, this question is not applicable based on the provided information.
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(267 days)
GOOD DOCTORS CO., LTD.
Dr's Finder is intended for detecting the apex of root canal.
The device allows the relative position of a dental file and the apex to be determined electrically. Using a standard dental file inserted into the root canal as an electrode, the device emits very small electrical currents having frequencies of 400 Hz, and 10400 Hz. The current between the file and mouth is measured at each of these frequencies, and the readout of the relative proximity to the apex will appear on the meter.
The Dr's Finder device is an apex locator "intended for detecting the apex of root canal."
Here's an analysis of its acceptance criteria and the study conducted to prove it:
1. Table of Acceptance Criteria and Reported Device Performance:
Acceptance Criteria | Reported Device Performance (Dr's Finder) |
---|---|
Accuracy | ±0.2mm |
2. Sample Size and Data Provenance:
The document mentions "comparison testing on Dr's Finder and the predicate device (RCM-7, K090925) was performed to compare the measurement performance of locating apex root using extracted tooth."
- Sample Size: The exact number of extracted teeth used is not specified in the provided document.
- Data Provenance: The study was conducted using extracted teeth, which implies a "non-clinical" setting. The country of origin for the data is not explicitly stated, but the manufacturer, "Good Doctors Co., Ltd.," is located in "Incheon, Republic of Korea."
3. Number of Experts and Qualifications:
The document does not specify the number of experts used to establish ground truth or their qualifications.
4. Adjudication Method:
The adjudication method for establishing ground truth is not mentioned in the document.
5. Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study:
A multi-reader multi-case (MRMC) comparative effectiveness study was not conducted or reported. The study focused on comparing the performance of the device against a predicate device using test cases, not on human reader improvement with or without AI assistance.
6. Standalone Performance Study:
Yes, a standalone performance study was conducted. The "comparison testing" on the Dr's Finder focused on its performance in locating the apex of root canals in extracted teeth, which is an evaluation of the algorithm/device's performance in isolation.
7. Type of Ground Truth Used:
The ground truth for the performance study was established by measurements on extracted teeth. The document does not elaborate on how this ground truth measurement was precisely determined (e.g., direct visual inspection, microscopic analysis, etc.), but it is implied to be a direct physical measurement.
8. Sample Size for Training Set:
The document does not mention a training set or its sample size. This suggests that the device's development might not have involved a typical machine learning training and testing paradigm as is common with some AI devices. It's more likely based on established electrical impedance principles.
9. How Ground Truth for Training Set Was Established:
Since no training set is mentioned, the method for establishing its ground truth is not applicable based on the provided information.
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(79 days)
GOOD DOCTORS CO., LTD.
The CL-DC20 and CL-DC21 Dental Curing Lights are indicated for the curing of dental composites using visible light.
Not Found
I am sorry, but the provided text does not contain information about acceptance criteria, device performance, or any study details that would allow me to answer your request. The document is an FDA 510(k) clearance letter for dental curing lights, which confirms the device's substantial equivalence to a predicate device but does not include the detailed study information you've requested.
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(44 days)
GOOD DOCTORS CO., LTD.
Curing of dental composites using visible light.
Doctor's Light LED Dental Curing Light is a hand-held polymerization light intended for use in curing dental composites. This product uses a rechargeable Li-ion Battery for cordless operation.
The provided text is a 510(k) summary for a dental curing light, which is a physical device, not an AI/ML algorithm. Therefore, many of the requested categories for AI/ML device studies, such as sample sizes for test/training sets, expert adjudication, MRMC studies, and ground truth establishment, are not applicable.
Here's an analysis of the available information:
1. Table of Acceptance Criteria and Reported Device Performance
Acceptance Criteria | Reported Device Performance |
---|---|
Electrical Safety (IEC 60601-1) | Meets standard |
Electromagnetic Compatibility (IEC 60601-1-2) | Meets standard |
Performance Specifications | Bench testing demonstrated compliance |
Equivalence to Predicate Devices: | |
- Light source | Equivalent to predicate devices |
- Power source | Equivalent to predicate devices |
- Wavelength | Equivalent to predicate devices |
- Materials | Equivalent to predicate devices |
- Light intensity | Equivalent to predicate devices |
- Peak wavelength | Equivalent to predicate devices |
- Depth of cure | Equivalent to predicate devices |
2. Sample size used for the test set and the data provenance
Not applicable for this type of device and submission. The performance was assessed through bench testing and comparison to predicate devices, not through a data-driven test set.
3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts
Not applicable. Ground truth establishment with experts is relevant for diagnostic or AI/ML devices, not for a dental curing light whose performance is determined by physical characteristics and safety standards.
4. Adjudication method (e.g. 2+1, 3+1, none) for the test set
Not applicable.
5. If a multi reader multi case (MRMC) comparative effectiveness study was done, If so, what was the effect size of how much human readers improve with AI vs without AI assistance
Not applicable. This is not an AI-assisted diagnostic device.
6. If a standalone (i.e. algorithm only without human-in-the loop performance) was done
Not applicable. This is a standalone physical device, not an algorithm.
7. The type of ground truth used (expert consensus, pathology, outcomes data, etc.)
The "ground truth" equivalent for this device type would be the established scientific and engineering principles for dental curing lights, as well as the specifications of the predicate devices. Performance was verified against these benchmarks and relevant industry standards (IEC 60601-1, IEC 60601-1-2).
8. The sample size for the training set
Not applicable. There is no training set for a dental curing light.
9. How the ground truth for the training set was established
Not applicable.
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